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View article: A Survey of Autonomous Driving Trajectory Prediction: Methodologies, Challenges, and Future Prospects
A Survey of Autonomous Driving Trajectory Prediction: Methodologies, Challenges, and Future Prospects Open
Trajectory prediction is a critical component of autonomous driving decision-making systems, directly impacting driving safety and traffic efficiency. Despite advancements, existing reviews exhibit limitations in timeliness, classification…
View article: Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images
Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images Open
Quality enhancement methods have been widely integrated into visual communication pipelines to mitigate artifacts in compressed images. Ideally, these quality enhancement methods should perform robustly when applied to images that have alr…
View article: Auto-segmentation, radiomic reproducibility, and comparison of radiomics between manual and AI-derived segmentations for coronary arteries in cardiac [18F]NaF PET/CT images
Auto-segmentation, radiomic reproducibility, and comparison of radiomics between manual and AI-derived segmentations for coronary arteries in cardiac [18F]NaF PET/CT images Open
VIKCOVAC trial ("effects of Vitamin K and Colchicine on vascular calcification activity"). Unique identifier: ACTRN12616000024448. URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368825 .
View article: InstructOCR: Instruction Boosting Scene Text Spotting
InstructOCR: Instruction Boosting Scene Text Spotting Open
In the field of scene text spotting, previous OCR methods primarily relied on image encoders and pre-trained text information, but they often overlooked the advantages of incorporating human language instructions. To address this gap, we p…
View article: PPT: A Point Patch Transformer for Point Cloud Classification
PPT: A Point Patch Transformer for Point Cloud Classification Open
With the success of Transformers in natural language processing and 2D computer vision, their application has extended to 3D point cloud understanding, yielding promising results. However, due to the inherent unordered nature of point clou…
View article: PPT: A Point Patch Transformer for Point Cloud Classification
PPT: A Point Patch Transformer for Point Cloud Classification Open
With the success of Transformers in natural language processing and 2D computer vision, their application has extended to 3D point cloud understanding, yielding promising results. However, due to the inherent unordered nature of point clou…
View article: PPT: A Point Patch Transformer for Point Cloud Classification
PPT: A Point Patch Transformer for Point Cloud Classification Open
With the success of Transformers in natural language processing and 2D computer vision, their application has extended to 3D point cloud understanding, yielding promising results. However, due to the inherent unordered nature of point clou…
View article: InstructOCR: Instruction Boosting Scene Text Spotting
InstructOCR: Instruction Boosting Scene Text Spotting Open
In the field of scene text spotting, previous OCR methods primarily relied on image encoders and pre-trained text information, but they often overlooked the advantages of incorporating human language instructions. To address this gap, we p…